Job description
As a Machine Learning Engineer at Ahamove, you will be at the core of our data-driven innovation. You will research, build, and deploy AI/ML models that directly impact our business operations, from optimizing our logistics network to enhancing driver and user experiences. We are looking for an autonomous and product-minded engineer who can translate complex business needs into robust, scalable ML solutions.
Key Responsibilities:Research, Build, and Deploy Core ML Models
Dynamic Pricing Models: Take ownership of our dynamic pricing initiatives. Move beyond our current rules-based methods by designing and training sophisticated classification models to optimize surge pricing for our bike (instant \& pooling) and truck services.
Recommendation Systems: Develop and scale our order-driver matching models across multiple cities to increase acceptance rates and improve network efficiency.
Agentic AI Systems: Design and implement intelligent agents for critical business functions, including outlier detection, automated business reporting for leadership, trend forecasting, and fraud/cheating detection.
Develop and Scale Computer Vision Solutions
Build and improve a suite of computer vision models for operational automation, including proof-of-work classifications (delivery, cancellation, pickup) and driver validation (face, uniform).
Explore and implement solutions for vehicle validation (license plates, decals, odometers).
Research and Application of New Technologies
Stay current with the latest advancements in machine learning, deep learning, and LLMs to enhance the performance of our models and the efficiency of your workflow.
Proactively identify and champion new open-source technologies or methodologies that can be applied to solve Ahamove's unique challenges.### Job requirement
Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Engineering, or a related field.Minimum 2-4 years of experience as an AI/ML Engineer, with a proven track record of developing and deploying machine learning models into a production environment.Strong Autonomy \& Business Acumen: Demonstrated ability to take a business problem, translate it into a machine learning task, and autonomously drive the project from analysis to a deployed solution.Core Technical Skills:
Proficiency in Python and SQL is a must.
Deep understanding of ML fundamentals, including classification (binary, clustering) and regression (forecasting), along with the metrics to train, validate, and evaluate models.
Hands-on experience with deep learning frameworks and a strong background in Computer Vision (CV) and/or Natural Language Processing (NLP).Preferred Experience:
Experience designing and building agentic AI systems or multi-agent architectures.
Experience with recommendation or matching systems.
Familiarity with building and managing data models on cloud platforms (e.g., GCP, AWS).
Experience with large-scale data processing using tools like Spark.
Solid understanding of A/B testing principles.### Benefit
Physical Wellbeing Benefit: General Insurance, Medical check-up, Accident Insurance, Healthcare InsuranceEmotional Wellbeing Benefit: Company Trip, Year End Party, Aha Hour Activities, Special Day Gifts, Aha Club (Badminton, Soccer)Financial Wellbeing Benefit: Grab/Be For Work (Tech/Lead Level), Workplace Relocation, 13th Month Salary, PP Appreciate, Annual Leave RemainỨng tuyển ngay